民营矿业企业文化评价体系研究--以蒙自某矿冶公司为例

以企业文化评价为基点,通过对民营矿业企业文化评价体系的构建分析其文化特点,结合蒙自某矿业有限公司的具体发展状况,采用多层次多算子二型模糊数学模型,使用加权平均型模糊分析计算。通过研究,验证了该体系对于检验民营矿业企业文化的有效性;同时,提出加强企业安全意识,注重文化监控;增强基础文化培训,弥补文化距离;转变思维方式,培育多种激励手段;加强文化管理,进一步增加管理透明度等对策措施。     

Adaptive Warped Kernel Estimators

In this work, we develop a method of adaptive non‐parametric estimation, based on ‘warped’ kernels. The aim is to estimate a real‐valued function s from a sample of random couples (X,Y). We deal with transformed data (Φ(X),Y), with Φ a one‐to‐one function, to build a collection of kernel estimators. The data‐driven bandwidth selection is performed with a method inspired by Goldenshluger and Lepski (Ann. Statist., 39, 2011, 1608). The method permits to handle various problems such as additive and multiplicative regression, conditional density estimation, hazard rate estimation based on randomly right‐censored data, and cumulative distribution function estimation from current‐status data. The interest is threefold. First, the squared‐bias/variance trade‐off is automatically realized. Next, non‐asymptotic risk bounds are derived. Lastly, the estimator is easily computed, thanks to its simple expression: a short simulation study is presented.     

On False Discovery and Non‐discovery Proportions of the Dynamic Adaptive Procedure

This paper studies the asymptotic behaviour of the false discovery and non‐discovery proportions of the dynamic adaptive procedure under some dependence structure. A Bahadur‐type representation of the cut point in simultaneously performing a large scale of tests is presented. The asymptotic bias decompositions of the false discovery and non‐discovery proportions are given under some dependence structure. In addition to existing literatures, we find that the randomness due to the dynamic selection of the tuning parameter in estimating the true null rate serves as a source of the approximation error in the Bahadur representation and enters into the asymptotic bias term of the false discovery proportion and those of the false non‐discovery proportion. The theory explains to some extent why some seemingly attractive dynamic adaptive procedures do not outperform the competing fixed adaptive procedures substantially in some situations. Simulations justify our theory and findings.     

后现代文化观

后现代文化作为后工业社会人类拥有的一种生存状态、精神样式和美学实践,其目的、性质、对象、形式、内容、功能和价值都发生“哥白尼式”变化。一种健全的、非祛魅的、更多尊严和更多自主性的文化将是非异化的、人道的、自由的、多元的、反本质主义的、非决定论的多种文化形式的混合体。特别是第四世界文化将日益超越政治、国家、阶级、种族、意识形态和宗教信仰,真正实现自在和自为的统一;构建高质量的人文生态,塑造完整人性。     

非政府组织参与家庭服务与支持的路径分析

非政府组织参与家庭服务与支持,可以实现弥补、协助、引领等积极功能.为了确保非政府组织参与家庭服务与支持的效果,非政府组织应从专业服务、内部治理和沟通公关三个方面加强能力建设.同时不同类别的非政府组织需要在准确定位的基础上发挥各自的优势,探索适合自身的参与家庭服务与支持的路径.     

The likelihood ratio test for homogeneity in finite mixture models

The authors study the asymptotic behaviour of the likelihood ratio statistic for testing homogeneity in the finite mixture models of a general parametric distribution family. They prove that the limiting distribution of this statistic is the squared supremum of a truncated standard Gaussian process. The autocorrelation function of the Gaussian process is explicitly presented. A re‐sampling procedure is recommended to obtain the asymptotic p‐value. Three kernel functions, normal, binomial and Poisson, are used in a simulation study which illustrates the procedure.     

A Class of Convolution‐Based Models for Spatio‐Temporal Processes with Non‐Separable Covariance Structure

Abstract. In this article, we propose a new parametric family of models for real‐valued spatio‐temporal stochastic processes S ( x , t ) and show how low‐rank approximations can be used to overcome the computational problems that arise in fitting the proposed class of models to large datasets. Separable covariance models, in which the spatio‐temporal covariance function of S ( x , t ) factorizes into a product of purely spatial and purely temporal functions, are often used as a convenient working assumption but are too inflexible to cover the range of covariance structures encountered in applications. We define positive and negative non‐separability and show that in our proposed family we can capture positive, zero and negative non‐separability by varying the value of a single parameter.     

Transformation and Smoothing in Sample Survey Data

Abstract. We consider model‐based prediction of a finite population total when a monotone transformation of the survey variable makes it appropriate to assume additive, homoscedastic errors. As the transformation to achieve this does not necessarily simultaneously produce an easily parameterized mean function, we assume only that the mean is a smooth function of the auxiliary variable and estimate it non‐parametrically. The back transformation of predictions obtained on the transformed scale introduces bias which we remove using smearing. We obtain an asymptotic expansion for the prediction error which shows that prediction bias is asymptotically negligible and the prediction mean‐squared error (MSE) using a non‐parametric model remains in the same order as when a parametric model is adopted. The expansion also shows the effect of smearing on the prediction MSE and can be used to compute the asymptotic prediction MSE. We propose a model‐based bootstrap estimate of the prediction MSE. The predictor produces competitive results in terms of bias and prediction MSE in a simulation study, and performs well on a population constructed from an Australian farm survey.     

论《墨子》的政治辩证法思想

《墨子》政治辩证法思想的主要内容 ,一是运用“爱民”和“明罚”统治手段实现民众与统治者一致的思想 ;二是下同于上与上同于下相统一的“尚同”思想 ,以及谏臣可以“长生保国”的思想 ;三是“利之中取大 ,害之中取小”的政治决策思想 ;四是“安危治乱 ,在上之发政”、“强必治”等发挥主观能动作用的思想 ;五是“官无常贵而民无终贱”的政治地位转化的思想。《墨子》政治辩证法思想与“得之下情则治”及“非命”的唯物主义思想倾向直接相关。     

A strong law of large number for negatively dependent and non identical distributed random variables in the framework of sublinear expectation

Abstract

In this article, in the framework of sublinear expectation initiated by Peng, we derive a strong law of large numbers (SLLN) for negatively dependent and non identical distributed random variables. This result includes and extends some existing results. Furthermore, we give two examples of our result for applications.